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Extreme high temperatures are a significant feature of global climate change and have become more frequent and intense in recent years. These pose a significant threat to both human health and economic activity, and thus are receiving increasing research attention. Understanding the hazards posed by extreme high temperatures are important for selecting intervention measures targeted at reducing socioeconomic and environmental damage.

In this study, detrended fluctuation analysis is used to identify extreme high-temperature events, based on homogenized daily minimum and maximum temperatures from nine meteorological stations in a major grassland region, Hulunbuir, China, over the past 56 years.

Compared with the commonly used functions, Weibull distribution has been selected to simulate extreme high-temperature scenarios. It has been found that there was an increasing trend of extreme high temperature, and in addition, the probability of its indices increased significantly, with regional differences. The extreme high temperatures in four return periods exhibited an extreme low hazard in the central region of Hulunbuir, and increased from the center to the periphery. With the increased length of the return period, the area of high hazard and extreme high hazard increased. Topography and anomalous atmospheric circulation patterns may be the main factors influencing the occurrence of extreme high temperatures.

These results may contribute to a better insight in the hazard of extreme high temperatures, and facilitate the development of appropriate adaptation and mitigation strategies to cope with the adverse effects.

The paper aims to investigate the possible changes in mean temperature in the Mongolian Plateau associated with the 1.5 and 2°C global warming targets and how snow changes in the Mongolian Plateau when the mean global warming is well below 2°C or limited to 1.5°C.

In total, 30 model simulations of consecutive temperature and precipitation days from Coupled Model Inter-comparison Project Phase 5 (CMIP5) are assessed in comparison with the 111 meteorological monitoring stations from 1961–2005. Multi-model ensemble and model relative error were used to evaluate the performance of CMIP5 models. Slope and the Mann–Kendall test were used to analyze the magnitude of the trends and evaluate the significance of trends of snow depth (SD) from 1981 to 2014 in the Mongolian Plateau.

Some models perform well, even better than the majority (80%) of the models over the Mongolian Plateau, particularly HadGEM2-CC, CMCC-CM, BNU-ESM and GFDL-ESM2M, which simulate best in consecutive dry days (CDD), consecutive wet days (CWD), cold spell duration indicator (CSDI) and warm spell duration indicator (WSDI), respectively. Emphasis zones of WSDI on SD were deeply analysed in the 1.5 and 2 °C global warming period above pre-industrial conditions, because it alone has a significant negative relation with SD among the four indices. It is warmer than before in the Mongolian Plateau, particularly in the southern part of the Mongolian Plateau, indicating less SD.

Providing climate extremes and SD data sets with different spatial-temporal scales over the Mongolian Plateau. Zoning SD potential risk areas and proposing adaptations to promote regional sustainable development.

In the Western world, Carl Jung was the first to posit a theory of synchronicity to explain the startling divinatory power of the I Ching. Yet long before his time and unbeknownst to the West, the Chinese had already institutionalized as their tradition, simple practices for enabling decisions grounded on the synchronous concept. The purpose of this paper is to explain the process from within the context of Chinese Buddhist spirituality.

The approach here is to provide the background of Han Chinese Buddhism in modern China and within it, the wide practices of Kuan Yin spirituality and introducing the tools that the Chinese devised for consulting the Goddess of Mercy, as Kuan Yin is otherwise known. Then a discussion is made, for the first time, of the underlying mechanics as well as the mind and energy aspects. Having so introduced the religious background, spirituality, tools and mechanics, the processes of temple consultations for decisions are then explained. In the discussion, a framework for classifying decisions is outlined along with probability concepts. There is also the requirement for the inquirer to seek a metaphorical interpretation of the poetic imagery as contained in the Qian (a slip of paper).

Through writing this paper, the author wishes readers, both managerial and those in research, to understand what is still the approach (even more widely in China now than before) in how the Chinese – in and outside of China – approach the task of making major, complex decisions. These practices which date from antiquity clearly suggest the Chinese had gone beyond Jungian synchronicity in translating the theory into practice for decision making. In other words, they had long recognized the need for tools, techniques and approaches to help them make complex, difficult decisions: decisions that often go beyond the rational boundaries of the mind.

With the rising impact of the Chinese on the global economy and society, there is clearly a need for works that explain major Chinese processes such as the making of decisions. The art of decision making by the Chinese on the basis of what Jung theorized as synchronicity should become much better understood by researchers and managers.

There are very few academic papers exploring the process of Kuan Yin consultation in decision making by the Chinese. Yet this can be seen across many temples in everyday China and overseas Chinese communities as well as in Japan, Korea and Vietnam. The understanding of such processes is necessary for anyone, who wishes to grasp the minds of the Chinese as regards the process involved in the making of major decisions.

Although considerable evidence shows that online product reviews (OPRs) can greatly affect consumers, how interface designs of OPR systems (i.e. websites where consumers read and write OPRs) impact online buying behavior has not yet been well investigated. Using research on confidence in judgment and the Stimulus-Organism-Response (SOR) framework, this study aims to develop a model of the effects of OPR system design on consumer purchase behavior.

A study using a two by two by two factorial experimental design was conducted. The structural model with AMOS 23 based on 319 useable data points was tested.

Findings are very interesting. First, designs that manipulate positions of reviews impact perceived value but surprisingly have no effects on confidence in judgment. Second, designs using default display order based on helpfulness votes rather than on recency of reviews increase confidence to a higher level. Third, although unstructured organization methods are used by many major OPR systems, they are inferior in enhancing consumers’ emotional reactions to structured ones.

This paper highlights the need for more academic research on how interface designs of online product review systems impact purchase behavior. Additionally, this study emphasizes the need for examining how confidence in judgment is impacted in the online environment.

For practitioners, this research provides them with design implications on how to increase consumer purchase behavior.

This research enhances the understanding of the effects of OPR system interface design on purchase behavior. In addition, the current paper sheds light on how confidence in judgment, given its importance in reducing online consumer’s hesitance to buy, is impacted by various interface designs of OPR systems. Furthermore, this study applies the SOR framework to the context of OPR system designs.

The purpose of this paper is to propose an efficient finite element formulation for nonlinear analysis of clustered tensegrity that consists of classical cables, clustered cables and bars.

The derivation of the finite element formulation is based on the co-rotational approach, which decomposes a geometrically nonlinear deformation into a large rigid body motion and a small-strain deformation. A tangent stiffness matrix of a clustered cable is proposed and the Newton-Raphson scheme is employed to solve the nonlinear equation.

The derived tangent stiffness matrix, including an additional stiffness terms that describes the slide effect of pulleys, can regress to the stiffness matrix of a classical cable, which is convenient for the implementation of finite element procedure. Two typical numerical examples show that the proposed formulation is accurate and requires less iteration than the force density method.

The co-rotational formulation of a clustered cable is originally proposed, although some mature methods, such as the TL, Force Density and Dynamic Relaxation method, have been applied to nonlinear analysis of clustered tensegrity. The proposed co-rotational formulation proved efficient.

The purpose of this paper is to provide an overview of China's contemporary banking regulatory system, with particular focus on regulatory control of foreign banks trading in China. The paper addresses three aspects of Chinese banking regulation: what does China regulate; why does China regulate; and how does China regulate. Much of the discussion is concerned with China's regulatory agencies particularly with the role of the CBRC as the principal regulator in China's banking sector.

In the first instance the paper presents an overview of banking regulatory models gained from a review of theoretical literature in the area. Then through a wide ranging review of Chinese publications, both academic and official, the paper seeks to relate the course of regulatory reform in China, both in terms of compliance with orthodox regulatory theory, and the unique regulatory requirements of the Chinese banking system.

The paper recognises that China has embraced the need for banking regulation with the establishment of an institutional structure that is responsive to both banking supervision and government policy. Within that structure the role of the CBRC, the pervasive manner in which that agency operates, and the content of its regulatory output have been identified and critically reviewed.

In its review of the modernization of China's banking regulatory system, the paper achieves originality from the author's research into, and critical reflections on Chinese generated literature, both institutional and academic, which is then communicated in a manner that will be understood by readers familiar with Western banking regulatory theory.

Achieving social sustainability has become a critical challenge in global supply chain networks, particularly during complex crises such as terrorism. The purpose of this study is to explore how institutional forces influence the social sustainability approaches of logistics service providers (LSPs) in high terrorism-affected regions (HTAR). This then leads to investigating how the key factors interact with Institutional Theory.

An exploratory multiple-case study research method was used to investigate six cases of different-sized logistics LSPs, each in an HTAR. The data was collected using semistructured interviews and triangulated using on-site observations and document analysis. Thematic analysis was used in iterative cycles for cross-case comparisons and pattern matching.

The findings interact with Institutional Theory and the three final-order themes. First, management processes are driven by coopetition and innovation. Second, organizational resources, structure and culture lead to an ineffective organizational design. Finally, a lack of institutionalization creates institutional uncertainty. These factors are rooted in many other first-order factors such as information sharing, communication, relationship management, capacity development, new process developments, workforce characteristics, technology, microlevel culture and control aspects.

This study answers the call for social sustainability research and enriches the literature on social sustainability, Institutional Theory and LSPs in HTARs by providing illustrations showing that institutional forces act as driving forces for social sustainability initiatives by shaping the current management processes. Conversely, the same forces impede social sustainability initiatives by shaping the current organizational designs and increasing institutional uncertainty.

Advanced big data analysis and machine learning methods are concurrently used to unleash the value of the data generated by government hotline and help devise intelligent applications including automated process management, standard construction and more accurate dispatched orders to build high-quality government service platforms as more widely data-driven methods are in the process.

In this study, based on the influence of the record specifications of texts related to work orders generated by the government hotline, machine learning tools are implemented and compared to optimize classify dispatching tasks by performing exploratory studies on the hotline work order text, including linguistics analysis of text feature processing, new word discovery, text clustering and text classification.

The complexity of the content of the work order is reduced by applying more standardized writing specifications based on combining text grammar numerical features. So, order dispatch success prediction accuracy rate reaches 89.6 per cent after running the LSTM model.

The proposed method can help improve the current dispatching processes run by the government hotline, better guide staff to standardize the writing format of work orders, improve the accuracy of order dispatching and provide innovative support to the current mechanism.